"Trump administration officials have asked a government artificial-intelligence testing unit to stop issuing public reports, the latest signal that the White House is tightening control over AI models as national-security concernsmoratorium?"
One of the best jobs in civic tech has just been advertised
Head of AI at the mighty @fullfact.org
Interesting ideas from @hackshackers.com on making their site ready for AI agents: www.hackshackers.com/how-we-made-...
Today I updated my AI Accountability Review post on AI ethics principles: www.ai-accountability-review.com/p/ai-ethics-... — adding a new pointer to a great critical article on what’s needed to make AI principles more effective as governance from Raphael Max: link.springer.com/article/10.1...
Court holds Google liable for false claims in AI Overviews. Seems significant.
"A regular search engine just points to outside websites. But AI overviews generate 'independent, new, and substantive statements' by evaluating and combining content from various third-party sites" the-decoder
Justin Hendrix
The unit’s future was thrown into doubt after its public work was halted despite winning praise from AI developers.
This from Anthropic is a real piece of work: www.anthropic.com/institute/re...
Me too!
What law exactly allows the president of the US to dictate that you can’t sell a product to a non-US citizen?
The number of journalists getting stung by this is just incredible. Like my mouth is on the floor that people just do not learn the lesson. Also book publishers.
A German regional court has ruled that Google is directly liable for the content of its AI search overviews. According to the court, previous limited liability protections for search engine operators don't apply to AI overviews. In this case, Google's AI had falsely linked two publishers to fraud and made claims that didn't appear in any of the linked sources. The ruling could set a precedent for AI-generated content liability worldwide.
To move from high-level values to effective accountability, we still need to bridge the gap between abstractions and quantifiable, data-driven metrics.
